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arXiv 2022年

作者： Zhang, J.-W. Zhang, Jian-Qi Ding, G.-Y. Li, J.-C. Bu, J.-T. Wang, B. Yan, L.-L. Su, S.-L. Chen, L. Nori, F. Özdemir, S.K. Zhou, F. Jing, H. Feng, M. State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics Wuhan Institute of Physics and Mathematics Innovation Academy of Precision Measurement Science and Technology Chinese Academy of Sciences Wuhan430071 China Research Center for Quantum Precision Measurement Guangzhou Institute of Industry Technology Guangzhou511458 China School of Physics University of the Chinese Academy of Sciences Beijing100049 China School of Physics Zhengzhou University Zhengzhou450001 China Theoretical Quantum Physics Laboratory RIKEN Cluster for Pioneering Research Saitama 351-0198 Japan Physics Department The University of Michigan Ann ArborMI48109-1040 United States Department of Engineering Science and Mechanics Materials Research Institute Pennsylvania State University University Park State College PA16802 United States Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control Ministry of Education Department of Physics Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha410081 China Synergetic Innovation Academy for Quantum Science and Technology Zhengzhou University of Light Industry Zhengzhou450002 China

A quantum thermal machine is an open quantum system coupled to hot and cold thermal baths. Thus, its dynamics can be well understood using the concepts and tools from non-Hermitian quantum systems. A hallmark of non-Hermiticity is the existence of exceptional points where the eigenvalues of a non-Hermitian Hamiltonian or an Liouvillian superoperator and their associated eigenvectors coalesce. Here, we report the experimental realisation of a single-ion heat engine and demonstrate the effect of the Liouvillian exceptional points on the dynamics and the performance of a quantum heat engine. Our experiments have revealed that operating the engine in the exact- and broken-phases, separated by a Liouvillian exceptional point, respectively during the isochoric heating and cooling strokes of an Otto cycle produces more work and output power and achieves higher efficiency than executing the Otto cycle completely in the exact phase where the system has an oscillatory dynamics and higher coherence. This result opens interesting possibilities for the control of quantum heat engines and will be of interest to other research areas that are concerned with the role of coherence and exceptional points in quantum processes and in work extraction by thermal *** Codes 80A05, 37B55, 81P40 © 2022, CC BY.

关键词： Otto cycle

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Core-shell [email protected] 2 O-graphene-polydopamine interdigitated microelectrode array sensor for in situ determination of salicylic acid in cucumber leaves

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Sensors and Actuators B: Chemical 2021年 341卷

作者： Dandan Liu Mingji Li Hongji Li Cuiping Li Guilian Wang Penghai Li Baohe Yang Tianjin Key Laboratory of Film Electronic and Communication Devices Engineering Research Center of Optoelectronic Devices & Communication Technology (Ministry of Education) School of Electrical and Electronic Engineering Tianjin University of Technology Tianjin 300384 PR China Tianjin Key Laboratory of Organic Solar Cells and Photochemical Conversion Tianjin Key Laboratory of Drug Targeting and Bioimaging School of Chemistry and Chemical Engineering Tianjin University of Technology Tianjin 300384 PR China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Tianjin 300384 PR China

The in situ detection of active small molecules in plants is one of the key technologies for the development of precision agriculture. An interdigitated microelectrode (IDME) array electrochemical sensor is constructed herein, with three groups of IDME arrays as a three-electrode system. The core-shell [email protected] 2 O-graphene (Gr)-polydopamine (PDA) nanoparticles are densely packed on Al microelectrodes using a three-potential step pulse electrodeposition method. Each of the over 2000 individual microelectrodes is approximately 1 μm wide and 1100 μm in length. The sensor has a high response to salicylic acid (SA) due to the synergistic electrocatalysis of [email protected] 2 O, Gr, and PDA, and the high-density arrangement of the three-electrode unit with microelectrodes. The sensor has a linear concentration range of 0.01–100 μM for SA and the detection limit is as low as 1.16 nM. The SA concentration in cucumber leaves is monitored from the early growth stage to the fruiting stage using the IDME array sensor, and the juice and living stems of the cucumber are detected. The flat structure of the [email protected] 2 O-Gr-PDA IDME array sensor is suitable for attachment onto plant tissues, especially for the in situ detection of SA in leaves.

关键词： Core-shell [email protected] 2 O-graphene-polydopamine Interdigitated microelectrode array Sensor Salicylic acid Plant

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Living Near More Greenness Associated with Increased Bone Strength: A Large Epidemiological Study in China

SSRN

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SSRN 2022年

作者： Jiang, Ye Kang Zhuo, Bai Ma Guo, Bing Zeng, Pei-Bin Guo, Yu-Ming Chen, Gong-Bo Wei, Jing He, Rui-Feng Li, Zhi-Feng Zhang, Xue-Hui Wang, Zi-Yun Li, Xuan Wang, Lei Zeng, Chun-Mei Chen, Lin Xiao, Xiong Zhao, Xing West China School of Public Health and West China Fourth Hospital Sichuan University Sichuan Chengdu China Division of Pulmonary Diseases State Key Laboratory of Biotherapy West China Hospital of Sichuan University Sichuan Chengdu China School of Medicine Tibet University Tibet Lhasa China Department of Epidemiology and Preventive Medicine School of Public Health and Preventive Medicine Monash University MelbourneVIC3004 Australia Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment Department of Occupational and Environmental Health School of Public Health Sun Yat-sen University Guangdong Guangzhou China Department of Atmospheric and Oceanic Science Earth System Science Interdisciplinary Center University of Maryland College ParkMD United States Tibet Center for Disease Control and Prevention Tibet Lhasa China Chongqing Municipal Center for Disease Control and Prevention Chongqing China School of public Health Kunming Medical University Yunnan Kunming China School of Public Health The key Laboratory of Environmental Pollution Monitoring and Disease Control Ministry of Education Guizhou Medical University Guiyang550025 China Jianyang Center for Disease Control and Prevention Sichuan Chengdu China

Background Numerous studies show that living near more greenness may benefit various health outcomes. Nevertheless, no studies have investigated the greenness-bone linkage in the general population with large sample sizes. Moreover, to what extent ambient air pollution (AAP) and physical activity (PA) mediate this relationship is unclear. We aimed to explore the association between greenness and bone strength in Chinese adults and the potential mediating role of AAP and PA behind it. Methods A total of 66,102 adults from the China Multi-Ethnic Cohort (CMEC) in 2018-2019 were enrolled. The Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) were employed as the residential greenness definition. Calcaneus quantitative ultrasound index (QUI) was regarded as an indicator of bone strength. Multiple linear regression models and causal mediation analyses were used to estimate the residential greenness-bone strength association and the potential pathways operating through PA and AAP. Stratification analyses were also adopted to identify susceptible populations. Results Increased residential exposure to greenness were significantly associated with higher QUI, with changes (95% confidence interval) of 3.04 (2.81, 3.26), 3.35 (3.12, 3.58), 2.44 (2.22, 2.66), and 2.71 (2.49, 2.93) for every interquartile range (IQR) increased in NDVI 500m , NDVI 1000m , EVI 500m , EVI 1000m , respectively. Gender, urbanicity, and annual family income significantly modified the links of greenness and bone strength, with more remarkable associations in males, urban residents, and subjects with higher family income. In the NDVI 500m /EVI 500m -QUI relationship, the mediating role of AAP was high reached 39.19% and 52.53%, while that of PA was only 1.64% and 1.68%. Conclusion Living in a greener place may improve bone strength, especially among males, urban residents, and the wealthier. These protective effects may be mainly operated by reducing the hazard effects of A

关键词： Housing

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Trace detection of benzene, toluene and xylene (BTX) by chemiresistive metal oxide-based gas sensors: Recent advances in heterojunction materials design

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Chinese Chemical Letters 2024年

作者： Yidan Chen Junzhou Xu Yanjun Pan Qi Cao Kaiping Yuan Department of Chemistry Fudan University Shanghai 200438 China Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education School of Energy and Environment Southeast University Nanjing 210096 China School of Environmental Science and Engineering Shanghai Jiao Tong University Shanghai 200240 China Frontier Institute of Chip and System State Key Laboratory of Integrated Chips and Systems Fudan University Shanghai 200438 China

As the chemical industry expands, the use of benzene, toluene, and xylene (collectively known as BTX) in industrial production has increased greatly. Meanwhile, the toxic nature and potential health hazards of BTX gases cannot be ignored due to low-concentration leaks underline the critical need for rapid and real-time monitoring of these gases. Chemiresistive metal oxide semiconductor (MOS)-based gas sensors, which are extensively used for gas detection in both industrial settings and everyday life, emerge as one of the optimal solutions for trace BTX detection. These sensors are highly valued for their high sensitivity and low detection limits. Nevertheless, the improvement of selectivity towards specific BTX gases to achieve efficient and precise detection still remains challenging. This review summarizes the chemiresistive MOS-based gas sensors designed for BTX detection, categorizing them based on the components of sensing materials-basically into three groups: single-component, single heterojunction, and multiple heterojunctions gas sensing materials. Further, the review proposes the future application prospects of chemiresistive MOS-based BTX gas sensors, with specific emphasis on their significance in promoting industrial safety and environmental monitoring.

关键词： Trace detection Benzene toluene and xylene (BTX) Chemiresistive Heterojunction Metal oxide semiconductor (MOS)

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The 110kV Live-Maintaining Robot control system Design for Substation Equipment in complex Working Conditions

The 110kV Live-Maintaining Robot Control System Design for S...

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Chinese control Conference (CCC)

作者： Chenyu Hu Xin Chen Chengyu Li Guangxian Huang Cheng Zhou Xu Jian School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China School of Future Technology China University of Geosciences Wuhan China Distribution Department State Grid Hubei Electric Power Co. Ltd. Xianning Power Supply Company Xianning China Operations and Maintenance Department State Grid Hubei Electric Power Co. Ltd Xianning Xian'an District Power Supply Company Xianning China Equipment Technology Center State Grid Hubei Electric Power Co. Ltd. Electric Power Science Research Institute Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China

Live-maintaining work is essential for continuous power supply to the substation. To improve the safety and efficiency of live-maintaining work, this paper proposes an equipotential live-maintaining robot system suitable for 110kV voltage levels. Considering the narrow space, complex working conditions and strong electromagnetic interference in substations, binocular vision technology, manipulator trajectory planning algorithm based on time-energy optimization, high voltage electromagnetic shielding technology are utilized to develop the system, and the live-maintaining robot is successfully applied in actual substation. By accurately identifying and locating the joint bolts and insulator, the robot system can achieve equipotential live-disassemble, live-assemble the joint bolts within 18 minutes and live-clean insulator within 5 minutes, demonstrating its the effectiveness and practicability.

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Artificial Intelligence without Restriction Surpassing Human Intelligence with Probability One: Theoretical Insight into Secrets of the Brain with AI Twins of the Brain

arXiv

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arXiv 2024年

作者： Huang, Guang-Bin Westover, M. Brandon Tan, Eng-King Wang, Haibo Cui, Dongshun Ma, Wei-Ying Wang, Tiantong He, Qi Wei, Haikun Wang, Ning Tian, Qiyuan Lam, Kwok-Yan Yao, Xin Wong, Tien Yin School of Automation Southeast University Nanjing China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing China Beth Israel Deaconess Medical Center Harvard Medical School Boston United States Department of Neurology National Neuroscience Institute Singapore Research Centre of Big Data and Artificial Intelligence for Medicine First Affiliated Hospital of Sun Yat-Sen University Guangzhou China Duke-NUS Medical School National University of Singapore Singapore Mind PointEye Singapore Institute for AI Industry Research Tsinghua University Beijing China College of Computing and Data Science Nanyang Technological University Singapore School of Biomedical Engineering Tsinghua University Beijing China Singapore AI Safety Institute Nanyang Technological University Singapore School of Data Science Lingnan University Hong Kong School of Computer Science University of Birmingham United Kingdom Singapore Eye Research Institute Singapore National Eye Centre Singapore Tsinghua Medicine Tsinghua University Beijing China

Artificial Intelligence (AI) has apparently become one of the most important techniques discovered by humans in history while the human brain is widely recognized as one of the most complex systems in the universe. One fundamental critical question which would affect human sustainability remains open: Will artificial intelligence (AI) evolve to surpass human intelligence in the future? This paper shows that in theory new AI twins with fresh cellular level of AI techniques for neuroscience could approximate the brain and its functioning systems (e.g. perception and cognition functions) with any expected small error and AI without restrictions could surpass human intelligence with probability one in the end. This paper indirectly proves the validity of the conjecture made by Frank Rosenblatt 70 years ago about the potential capabilities of AI, especially in the realm of artificial neural networks. This paper also gives the answer to the two widely discussed fundamental questions: 1) whether AI could have potentials of discovering new principles in nature;2) whether error backpropagation (BP) algorithm commonly and efficiently used in tuning parameters in AI applications is also adopted in the brain. Intelligence is just one of fortuitous but sophisticated creations of the nature which has not been fully discovered. Like mathematics and physics, with no restrictions artificial intelligence would lead to a new subject with its self-contained systems and principles. We anticipate that this paper opens new doors for 1) AI twins and other AI techniques to be used in cellular level of efficient neuroscience dynamic analysis, functioning analysis of the brain and brain illness solutions;2) new worldwide collaborative scheme for interdisciplinary teams concurrently working on and modelling different types of neurons and synapses and different level of functioning subsystems of the brain with AI techniques;3) development of low energy of AI techniques with the aid of fundament

关键词： Neurology

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Randomised benchmarking for characterizing and forecasting correlated processes

arXiv

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arXiv 2023年

作者： Zhang, Xinfang Wu, Zhihao White, Gregory A.L. Xiang, Zhongcheng Hu, Shun Peng, Zhihui Liu, Yong Zheng, Dongning Fu, Xiang Huang, Anqi Poletti, Dario Modi, Kavan Wu, Junjie Deng, Mingtang Guo, Chu Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha410073 China School of Physics and Astronomy Monash University VIC3800 Australia Dahlem Center for Complex Quantum Systems Freie Universität Berlin Berlin14195 Germany Institute of Physics Chinese Academy of Sciences Beijing100190 China Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Department of Physics Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha410081 China Science Mathematics and Technology Cluster and Engineering Product Development Pillar Singapore University of Technology and Design 8 Somapah Road 487372 Singapore Centre for Quantum Technologies National University of Singapore 117543 Singapore MajuLab CNRS-UNS-NUS-NTU International Joint Research Unit UMI 3654 Singapore Quantum for NSW Sydney2000 Australia

The development of fault-tolerant quantum processors relies on the ability to control noise. A particularly insidious form of noise is temporally correlated or non-Markovian noise. By combining randomized benchmarking with supervised machine learning algorithms, we develop a method to learn the details of temporally correlated noise. In particular, we can learn the time-independent evolution operator of system plus bath and this leads to (i) the ability to characterize the degree of non-Markovianity of the dynamics and (ii) the ability to predict the dynamics of the system even beyond the times we have used to train our model. We exemplify this by implementing our method on a superconducting quantum processor. Our experimental results show a drastic change between the Markovian and non-Markovian regimes for the learning accuracies. Copyright © 2023, The Authors. All rights reserved.

关键词： Benchmarking

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TransMut: a program to predict HLA-I peptide binding and optimize mutated peptides for vaccine design by the Transformer-derived self-attention model

Research Square

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Research Square 2021年

作者： Chu, Yanyi Zhang, Yan Wang, Qiankun Zhang, Lingfeng Wang, Xuhong Wang, Yanjing Wang, Jianmin Jiang, Xue Salahub, Dennis Russell Xiong, Yi Wei, Dong-Qing State Key Laboratory of Microbial Metabolism Shanghai-Islamabad-Belgrade Joint Innovation Center on Antibacterial Resistances Joint International Research Laboratory of Metabolic & Developmental Sciences School of Life Sciences and Biotechnology Shanghai Jiao Tong University Shanghai200030 China Department of Chemistry CMS - Centre for Molecular Simulation IQST - Institute for Quantum Science and Technology University of Calgary 2500 University Drive NW CalgaryABT2N 1N4 Canada Department of Clinical Oncology The University of Hong Kong-Shenzhen Hospital Shenzhen China School of Electrical Engineering and Computer Science University of Ottawa 75 Laurier Ave. OttawaONK1N 6N5 Canada The Ministry of Education Key Laboratory of System control and information processing Department of Automation School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai200030 China Integrative Biotechnology & Translational Medicine Yonsei University Incheon21983 Korea Republic of Peng Cheng Laboratory Vanke Cloud City Phase I Building 8 Xili Street Nanshan District Guangdong Shenzhen518055 China

Computational prediction of the interaction between human leukocyte antigen (HLA) and peptide (pHLA) can speed up epitope screening and vaccine design. Here, we develop the TransMut framework composed of TransPHLA for pHLA binding prediction and AOMP for mutated peptide optimization, which can be generalized to any binding and mutation task of biomolecules. Firstly, TransPHLA is developed by using a Transformer-derived self-attention model to predict pHLA binding, which is significantly superior to 11 previous methods on pHLA binding prediction, neoantigen and human papilloma virus vaccine identification. For vaccine design, the AOMP program is then developed to automatically optimize mutated peptides to search for mutant peptides with higher affinity to the target HLA and with high homology to the source peptide. Among 3660 non-binding pHLAs, 3630 were successfully mutated. Of these, 94% were verified by the IEDB recommended method, and 88% have homology higher than 80% to the source peptide. © 2021, CC BY.

关键词： Peptides

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Utilizing Fullerenols as Surfactant for Carbon Nanotubes Dispersions Preparation

Journal of Materials

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Journal of Materials 2017年第1期2017卷

作者： Jianlong Ji Chang Qiao Yali Liu Wendong Zhang Shengbo Sang Xing Yang Aoqun Jian Qianqian Duan Qiang Zhang Ying Liu Micro Nano System Research Center Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education College of Information Engineering Taiyuan University of Technology Taiyuan 030024 *** Advanced Coal Mine Machinery and Equipment Collaborative Innovation Center of Shanxi Province College of Information Engineering Taiyuan University of Technology Taiyuan 030024 *** MEMS Laboratory Department of Precision Instruments and Mechanology Tsinghua University Beijing 100084 *** College of Materials Science and Engineering Taiyuan University of Technology Taiyuan 030024 ***

Dispersions of individual carbon nanotubes (CNTs) are crucial for nanodevices and polymer/CNTs nanocomposites. In this paper, stable and homogenous dispersions of individual multiwalled carbon nanotubes (MWCNTs) have been synthesized. The factors influencing the dispersibility mechanism, including the surfactant concentration and the pH value, have been investigated. SEM images display the impurities sticking on MWCNTs which have been removed. The oxygen-containing groups on the surface of MWCNTs sample have been detected through FT-IR and Raman spectra. All experimental results illustrate that using fullerenols as surfactant can greatly improve the dispersibility of MWCNTs. Moreover, the prepared dispersions exhibit good stability that the sediment percentage of fullerenols-MWCNTs is only 5.2% after 5 days.

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State Estimation for Integrated Energy systems: Motivations, Advances, and Future Work

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IEEE Transactions on Power systems 2024年

作者： Zhao, Junbo Srivastava, Ankur Guo, Ye Cetenovic, Dragan Lin, Yuzhang Levi, Victor Yin, Guanxiong Huang, Manyun Zhang, Tingting Li, Zhigang Chen, Yanbo Exposito, Antonio G. Zhang, Wen Zheng, Weiye Chakrabarti, Saikat Li, Yang Sharma, Ankush Kamwa, Innocent Guo, Qinglai Terzija, Vladimir Mili, Lamine University of Connecticut Department of Electrical and Computer Engineering StorrsCT06269 United States Tsinghua University Tsinghua-Berkeley Shenzhen Institute Shenzhen518055 China The University of Manchester Department of Eee ManchesterM13 9PL United Kingdom University of Kragujevac Faculty of Technical Sciences Čačak Čačak32000 Serbia New York University Department of Electrical and Computer Engineering NY11201 United States Tsinghua University Department of Electrical Engineering Beijing100084 China Hohai University College of Energy and Electrical Engineering Nanjing210098 China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan250061 China The Chinese University of Hong Kong-Shenzhen School of Science and Engineering Shenzhen518172 China North China Electric Power University School of Electrical and Electronic Engineering Beijing102206 China University of Sevilla Spain Sevilla41092 Spain South China University of Technology School of Electrical Power Engineering Guangzhou510641 China Indian Institute of Technology Kanpur Department of Electrical Engineering Kanpur208016 India Northeast Electric Power University School of Electrical Engineering Jilin132012 China Laval University Department of Electrical and Computer Engineering QuebecQCG1V 0A6 Canada Tsinghua University State Key Laboratory of Power Systems Department of Electrical Engineering Beijing100084 China Newcastle University School of Engineering Newcastle upon TyneNE1 7RU United Kingdom Virginia Polytechnic Institute and State University Bradley Department of Electrical and Computer Engineering Falls ChurchVA22043 United States

This paper summarizes the technical activities of a three-year-long IEEE Task Force (TF) on State Estimation (SE) for Integrated Energy systems (IES). It presents the formal definition and characteristics of IES, along with the comprehensive discussion on Electric Power systems (EPS) model, and static and dynamic models associated with heating and natural gas systems. The paper also identifies the barriers of SE for IES, such as estimation modeling, observability analysis, and measurement requirements, together with addressing multi-scale dynamics. An extensive comparative analysis between Integrated Energy systems-State Estimation (IES-SE) and more established Electric Power system-State Estimation (EPS-SE) is presented. The paper also provides future research needs and directions related to IES-SE. © 1969-2012 IEEE.

关键词： Power system analysis

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